Roll No. _______________
Total No. of Questions : 17
Total No. of Pages : 02
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MBA (2018 Batch) (Sem.-3)
DATA SCIENCES USING R
Subject Code: MBA-962-18
M.Code: 77058
Time: 3 Hrs.
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Max. Marks : 60
INSTRUCTIONS TO CANDIDATES :
- SECTION-A contains EIGHT questions carrying TWO marks each and students has to attempt ALL questions.
- SECTION-B consists of FOUR Subsections: Units-I, II, III & IV. Each Subsection contains TWO questions each carrying EIGHT marks each and student has to attempt any ONE question from each Subsection.
- SECTION-C is COMPULSORY and consist of ONE question carrying TWELVE marks.
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SECTION-A
Explain briefly :
- Big Data
- Mean, Median, Mode
- Regression
- SVM
- Deep Learning
- Decision Tree
- Validation
- Data Mining
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SECTION-B
UNIT-I
- Differentiate between supervised and unsupervised learning.
- Explain standard deviation and variance using R software.
UNIT-II
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- What is decision tree? Where they are used? Explain with example.
- Explain the concept of linear, multiple and logistic regression.
UNIT-III
- Explain the process of clustering with k-medoids algorithm.
- Write a note on hierarchical and density-based spatial clustering.
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UNIT-IV
- How evaluation and validation is achieved using cross-validation?
- Write a note on big data related techniques.
SECTION-C
- A librarian purchases 500 books for the library. How data mining techniques (clustering and classification) will be used to arrange the books into racks?
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NOTE : Disclosure of Identity by writing Mobile No. or Making of passing request on any page of Answer Sheet will lead to UMC against the Student.
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This download link is referred from the post: PTU MBA 2020 March Previous Question Papers